Tilting the playing field: Dynamical loss functions for machine learning.
Miguel Ruiz-GarciaGe ZhangSamuel S. SchoenholzAndrea J. LiuPublished in: ICML (2021)
Keyphrases
- loss function
- machine learning
- pairwise
- learning models
- loss minimization
- support vector
- logistic regression
- squared error
- learning to rank
- risk minimization
- convex loss functions
- machine learning algorithms
- feature selection
- boosting algorithms
- reproducing kernel hilbert space
- decision trees
- text mining
- bayesian networks
- hinge loss
- learning to rank algorithms
- benchmark datasets
- text classification
- learning problems
- active learning
- training set
- update rules